rengwu/chartr

What it solves

chartr is an AI workspace designed to help users manage multiple AI agents and complex workflows. It solves the problem of fragmented agent interactions by providing a centralized "cockpit" where users can plan work via an agent, visualize progress on an interactive map, and execute tasks in dedicated, context-aware sessions.

How it works

The application acts as an agent multiplexer. Users register their existing CLI agents and skills (from local folders or git repositories) and organize them into "spaces" (folders). Work is broken down into "tickets" on a live star-map; each ticket spawns a terminal session that automatically loads the specific context required for that agent to complete its task.

Who it’s for

It is built for developers and power users who already use various CLI-based AI agents and want a structured, visual way to orchestrate their work and track progress across multiple sessions.

Highlights

• Live Star-Map: An interactive visualization of the project plan and live progress tracking.
• Agent Multiplexing: Ability to register and launch multiple existing CLI agents from a single interface.
• Ticket-Ready Sessions: Automatic context loading for agent sessions spawned from specific tickets.
• Self-Titling Tabs: Terminal tabs that automatically name themselves based on the agent's session content.
• Session Management: Grouped spaces, sortable session rows, and system notifications when an agent requires user input.